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Object Counting on COCO Count (test)

0.34mRMSE

ILC supervised approach

Updated 3d ago

Evaluation Results

Method	Links
ILC supervised approach 2019.03		0.34	1.89	0.18	0.84
seq-sub 2016.04		0.35	1.96	0.18	0.82
seq-sub-ft-3 x 3 2016.04		0.35	1.96	0.18	0.82
Seq-sub-ft-3x3 2019.03		0.35	1.96	0.18	0.82
ens 2016.04		0.36	1.98	0.18	0.81
ens 2016.04		0.36	1.98	0.18	0.81
ens 2019.03		0.36	1.98	0.18	0.81
aso-sub 2016.04		0.38	2.08	0.24	0.87
aso-sub-ft-1L-3 x 3 2016.04		0.38	2.08	0.24	0.87
Aso-sub-ft-3x3 2019.03		0.38	2.08	0.24	0.87
LC-ResFCN 2019.03		0.38	2.2	0.19	0.99
glance 2016.04		0.42	2.25	0.23	0.91
glance-ft-1L 2016.04		0.42	2.25	0.23	0.91
glance-ft-2L 2019.03		0.42	2.25	0.23	0.91
glance 2016.04		0.44	2.32	0.24	0.92
glance-sos-1L 2016.04		0.44	2.32	0.24	0.92
gt-class 2016.04		0.47	2.7	0.2	1.08
gt-class 2016.04		0.47	2.7	0.2	1.08
detect 2016.04		0.49	2.78	0.2	1.13
detect 2016.04		0.49	2.78	0.2	1.13
Fast-RCNN 2019.03		0.49	2.78	0.2	1.13
category-mean 2016.04		0.52	2.97	0.22	1.18
category-mean 2016.04		0.52	2.97	0.22	1.18
always-0 2016.04		0.54	3.03	0.21	1.22
mean 2016.04		0.54	2.96	0.23	1.17
always-0 2016.04		0.54	3.03	0.21	1.22
mean 2016.04		0.54	2.96	0.23	1.17
always-1 2016.04		1.12	2.39	1	0.8
always-1 2016.04		1.12	2.39	1	0.8